Quantifying Confidence in Assurance 2.0 Arguments
arXiv 2604.00034•a94773346b61ded445042ec0977764ed47f7342d18c601208749915336390f25
CIEA-debtFrechet-boundsLLMsRAGagent-architecturesarchitecture-metamodelassurance-2.0assurance-casesautomatic-program-repaircode-repairenergy-efficiencyenergy-footprintenterprise-architecture-debtenterprise-automationenvironmental-MLfault-localizationgenerative-AIlarge-language-modelsmicroservicesperformance-regressionpractitioner-studyprobabilistic-confidencerisk-aware-batchingterminal-agents
Paper metadata
- arXiv ID
- 2604.00034
- Version
- Not specified by this published record
- Category
- Computer Science — Software Engineering (cs.SE)
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Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- a94773346b61ded445042ec0977764ed47f7342d18c601208749915336390f25
- Enrichment time
- 2026-04-02T08:51:56Z
- AI-assisted enrichment
- Yes
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